The invention provides a robustness control method and
system for multi-source fusion localization, and the method comprises the steps: carrying out the visual feature point extraction of the same frame of image data of the same scene, obtaining a first
pose through visual inertial navigation fusion, and calculating a visual feature point error and a first re-projection error according to the first
pose; carrying out inertial navigation and
laser radar feature point extraction on the
point cloud data of the same frame in the same scene, and carrying out inertial navigation and
laser radar fusion to obtain a second
pose; calculating a
point cloud feature point error and a second re-projection error according to the second pose; calculating a third pose of the
laser radar and the camera, and calculating a camera position feature point error and a third
reprojection error according to the third pose; and comparing each re-projection error, carrying out weight
ranking on each feature point error, and carrying out quality grade division. Based on the method, the invention further provides a robustness
control system. According to the method, the resolving speed of the
system can be increased, the environmental adaptability and precision of the
system are improved, and the robustness of the system is improved.